Add to ORKGA linear shift-invariant preprocessing technique is described which requires no specific knowledge of the image parameters and which is sufficiently general to allow the effective radius of the composite imaging system to be minimized while constraining other system parameters to remain within specified limits
Digital images blurred by space-variant point-spread functions of uncorrected physical optics may be...
Includes bibliographical references (pages 40-42)Image restoration is an important part of digital i...
The present chapter illustrates the use of some recent alternative methods to deal with digital imag...
A linear shift-invariant image preprocessing technique is examined which requires no specific knowle...
A linear shift-invariant image preprocessing technique is examined which requires no specific knowle...
Restoration of images that have been blurred by the effects of a Gaussian blurring function is an il...
We describe how to efficiently apply a spatially-variant blurring operator using linear interpolatio...
The need for image restoration arises in many applications of various scientific disciplines, such a...
Introduction Optimization has been playing a prominent role in any of the modern image processing t...
The problem of digitally restoring blurred images is considered. The subject of image restoration is...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
Includes bibliographical references.Strip Kalman filtering for restoration of images degraded by lin...
AbstractThe need for image restoration arises in many applications of various scientific disciplines...
This paper presents a new technique for generating a high resolution image from a blurred image sequ...
The design of a digital image restoration filter must address four concerns: the completeness of the...
Digital images blurred by space-variant point-spread functions of uncorrected physical optics may be...
Includes bibliographical references (pages 40-42)Image restoration is an important part of digital i...
The present chapter illustrates the use of some recent alternative methods to deal with digital imag...
A linear shift-invariant image preprocessing technique is examined which requires no specific knowle...
A linear shift-invariant image preprocessing technique is examined which requires no specific knowle...
Restoration of images that have been blurred by the effects of a Gaussian blurring function is an il...
We describe how to efficiently apply a spatially-variant blurring operator using linear interpolatio...
The need for image restoration arises in many applications of various scientific disciplines, such a...
Introduction Optimization has been playing a prominent role in any of the modern image processing t...
The problem of digitally restoring blurred images is considered. The subject of image restoration is...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
Includes bibliographical references.Strip Kalman filtering for restoration of images degraded by lin...
AbstractThe need for image restoration arises in many applications of various scientific disciplines...
This paper presents a new technique for generating a high resolution image from a blurred image sequ...
The design of a digital image restoration filter must address four concerns: the completeness of the...
Digital images blurred by space-variant point-spread functions of uncorrected physical optics may be...
Includes bibliographical references (pages 40-42)Image restoration is an important part of digital i...
The present chapter illustrates the use of some recent alternative methods to deal with digital imag...